Zhang Yan-ming
Papers
1
Total Citations
7
H-Index
1
About
Dr. Zhang Yan-ming is a leading researcher at the intersection of computer vision, human-robot interaction, and assistive robotics, with a particular focus on addressing the challenges of an aging global population. His most cited work, "Skeleton‐Guided Action Recognition with Multistream 3D Convolutional Neural Network for Elderly‐Care Robot," introduces a novel framework that leverages skeleton data to guide a multistream 3D convolutional neural network, significantly improving the accuracy and robustness of action recognition for elderly-care robots. This contribution is pivotal for enabling robots to better understand and respond to human movements, enhancing the quality of care for older adults. With 7 citations, this paper has already begun to influence the field, demonstrating the practical impact of his research. Dr. Zhang’s work is notable for its direct application to real-world problems, bridging the gap between advanced deep learning techniques and socially beneficial technologies. His research continues to push the boundaries of how robots can perceive and interact with humans, making him a key figure in the development of intelligent, empathetic robotic systems for healthcare and daily assistance.
Research Focus
Key Achievements
Top Papers
- 1